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Ada reports faster, cheaper voice retrieval with Cohere Embed on Model Vault

1 article1 sourcesince Oct 27Last article

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Ada reports results from using Cohere Embed on Model Vault for voice retrieval, according to a post by Cohere CEO Aidan Gomez on X. Ada reports 77 ms median retrieval latency, 2.7x greater throughput-per-dollar for offline embedding, and a 4x smaller vector storage footprint, with no measurable retrieval degradation.

Ada also reports 90.7% top-10 recall.

The figures are Ada's claims as relayed by Cohere, and no independent measurement is reported.

Written by AI from the articles below · updated Oct 27, 1:19 PM ET

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Latest developmentOct 27, 1:17 PM ET
Ada uses Cohere Embed on Model Vault for faster, cheaper retrieval

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Oct 27
  1. Aidan GomezX
    Ada uses Cohere Embed on Model Vault for faster, cheaper retrieval

    AIAda achieved 77 ms median retrieval latency using Cohere Embed on Model Vault, according to Cohere's post. The setup delivered 2.7x greater throughput-per-dollar for offline embedding and a 4x smaller vector storage footprint with no measurable retrieval degradation. Ada also reached 90.7% top-10 recall.

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